research
∙
05/26/2023
Theoretical and Practical Perspectives on what Influence Functions Do
Influence functions (IF) have been seen as a technique for explaining mo...
share
research
∙
04/17/2023
On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study
Modern deep models for summarization attains impressive benchmark perfor...
research
∙
10/07/2022
Breaking BERT: Evaluating and Optimizing Sparsified Attention
Transformers allow attention between all pairs of tokens, but there is r...
research
∙
12/06/2021
Scaling Up Influence Functions
We address efficient calculation of influence functions for tracking pre...
research
∙
11/14/2021
"Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification
Feature attribution a.k.a. input salience methods which assign an import...
research
∙
06/25/2020
Unsupervised Video Decomposition using Spatio-temporal Iterative Inference
Unsupervised multi-object scene decomposition is a fast-emerging problem...
research
∙
10/21/2019